Marc Larouche

Doctoral researcher · Cybersecurity · AI governance

Making AI governance something an organization can actually do.

I'm an Applied Doctorate candidate in Cyber Security and a former federal cybersecurity professional. My proposed dissertation research maps NIST 800-53 security controls to the NIST AI Risk Management Framework to put algorithmic equity into practice, and I build the tools that explore those ideas.

Applied Doctorate

in Cyber Security, East Bridge University

14 platforms

governance and technical writing

20+ years

federal cybersecurity

CISSP · CISA · CEH

plus AWS Solutions Architect

Proposed dissertation research

Operationalizing Algorithmic Equity

A socio-technical overlay framework for mapping NIST 800-53 security controls to the NIST AI Risk Management Framework (AI RMF 1.0). Organizations already run mature security control programs. The question is how far those same controls can carry fairness and accountability for AI systems.

Research overview →

Platforms

Research ideas, built as working software

Theme 01

Operationalizing governance controls

Enclave-AI · Enclave-SSP · Enclave-GAP · Enclave-POL · Enclave-Vault

Theme 02

Comparative regulation across jurisdictions

Ley81-Suite · TerraGuard-PT · Borealis-Compliance

Theme 03

Documentation quality and technical communication

Docentriq · DocAudit-AI · Microcopy-Lab · Sprint2Docs-AI · KnowledgeBridge-AI · Research2Docs-AI

See all 14 platforms →

The through line

“Twenty years of securing federal systems taught me that a control only matters when someone can implement it, evidence it, and explain it. AI governance is no different.”

ML

Marc Larouche

Military veteran · CISSP · Doctoral candidate · Tool builder